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. 2024 Apr 29;24(9):2830. doi: 10.3390/s24092830

Table 8.

Comparison between shallow GNN models and DeepChestGNN (ours) model.

Model Sensitivity Precision F1-Score Accuracy
NSCGCN [17] 87.50% 87.37% 87.50% 98.04%
PNA-GCN [9] 95.43% 98.51% 98.63% 97.79%
ResGNet-C [65] 95.91% 96.65% 96.21% 96.62%
Efficient-B4-FPN [66] 91.01% 89.13% 95.96% 95.36%
GraphSAGE [67] 63.83% 76.59% 58.90% 63.83%
DeepChestGNN (ours) 98.72% 98.71% 98.71% 99.74%